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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SH3GL1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
47.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
92.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
86.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
80.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
79.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
79.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
78.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
77.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
77.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
76.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
76.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
75.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
74.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
73.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
73.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
72.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
71.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
70.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
69.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
69.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
69.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
69.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
69.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
68.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
68.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
67.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
66.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
66.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
66.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
65.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
65.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
64.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
63.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
63.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
63.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
62.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
62.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
62.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
62.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
61.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
61.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
61.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
60.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
60.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
60.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
60.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
60.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
59.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
59.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
58.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
58.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
58.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
58.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
57.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
57.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
57.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
57.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
57.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
57.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
57.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
57.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
56.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
56.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
55.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
55.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
55.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
55.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
55.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
55.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
54.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
54.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
54.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
54.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
53.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
53.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
53.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
53.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
53.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
53.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
53.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
53.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
52.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
52.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
52.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
52.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
52.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
51.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
51.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
51.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
51.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
51.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
51.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
51.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
51.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
51.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
51.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
50.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
50.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
50.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
50.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
50.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
50.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
50.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
50.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
49.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
49.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
49.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
49.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
49.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
49.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
49.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
48.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
48.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
48.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
48.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
48.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
48.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
48.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
47.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
47.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
47.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
47.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
47.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
46.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
46.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
46.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
46.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
46.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
46.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
46.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
46.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
46.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
46.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
45.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
45.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
45.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
45.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
45.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
45.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
45.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
44.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
44.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
44.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
44.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
44.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
44.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
44.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
44.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
44.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
44.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
44.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
43.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
43.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
43.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
43.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
43.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
43.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
43.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
43.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
43.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
42.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
42.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
42.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
42.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
42.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
42.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
42.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
42.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
42.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
41.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
41.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
41.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
41.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
41.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
41.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
41.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
41.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
41.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
41.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
41.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
40.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
40.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
40.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
40.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
40.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
39.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
39.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
39.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
39.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
39.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
39.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
39.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
39.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
38.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
38.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
38.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
38.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
38.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
38.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
38.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
38.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
38.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
37.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
37.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
37.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
37.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
37.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
36.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
36.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
36.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
36.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
36.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
35.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
35.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
35.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
35.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
35.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
34.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
34.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
34.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
33.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
33.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
33.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
33.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
32.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
32.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
32.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
31.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
31.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
31.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
30.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
30.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
30.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
29.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
29.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
29.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
29.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
29.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
28.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
28.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
28.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
27.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
26.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
25.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
25.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
24.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
24.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
24.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
22.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
22.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
19.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
19.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
18.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
12.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SH3GL1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
49.7
Number of samples
486
Samples
Sample
Description
TPM
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
98.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
91.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
88.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
84.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
80.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
80.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
79.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
77.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
76.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
76.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
76.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
75.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
75.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
75.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
74.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
74.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
74.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
73.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
73.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
73.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
73.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
73.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
71.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
71.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
71.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
71.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
70.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
70.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
70.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
70.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
70.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
70.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
70.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
70.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
69.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
69.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
69.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
69.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
69.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
69.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
68.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
68.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
68.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
68.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
67.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
66.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
66.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
66.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
66.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
66.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
66.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
66.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
65.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
65.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
65.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
65.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
65.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
65.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
64.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
64.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
64.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
64.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
64.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
64.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
63.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
63.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
63.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
63.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
63.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
62.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
62.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
62.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
62.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
62.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
62.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
62.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
61.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
61.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
61.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
61.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
61.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
61.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
61.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
61.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
61.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
61.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
60.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
60.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
60.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
60.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
60.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
60.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
59.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
59.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
59.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
59.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
59.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
59.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
58.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
58.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
58.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
58.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
58.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
58.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
58.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
58.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
58.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
58.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
57.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
57.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
57.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
57.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
57.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
57.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
57.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
57.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
57.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
57.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
57.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
56.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
56.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
56.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
56.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
56.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
56.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
56.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
56.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
56.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
56.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
56.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
56.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
56.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
56.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
56.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
55.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
55.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
55.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
55.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
55.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
55.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
55.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
55.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
54.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
54.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
54.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
54.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
54.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
54.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
54.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
54.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
53.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
53.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
53.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
53.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
53.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
53.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
53.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
53.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
53.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
53.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
53.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
53.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
53.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
53.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
53.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
53.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
53.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
52.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
52.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
52.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
52.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
52.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
52.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
52.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
52.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
52.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
52.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
52.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
52.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
52.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
52.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
52.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
52.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
52.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
52.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
52.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
52.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
51.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
51.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
51.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
51.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
51.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
51.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
51.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
51.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
51.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
51.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
51.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
51.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
51.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
51.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
51.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
50.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
50.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
50.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
50.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
50.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
50.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
50.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
50.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
50.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
50.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
50.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
50.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
50.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
50.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
50.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
50.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
49.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
49.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
49.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
49.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
49.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
49.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
49.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
49.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
49.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
49.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
49.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
49.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
49.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
49.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
49.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
49.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
48.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
48.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
48.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
48.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
48.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
48.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
48.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
48.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
48.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
48.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
48.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
48.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
48.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
48.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
48.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
48.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
48.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
48.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
47.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
47.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
47.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
47.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
47.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
47.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
47.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
47.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
47.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
47.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
47.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
47.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
47.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
47.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
47.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
47.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
47.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
47.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
47.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
47.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
47.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
47.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
47.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
47.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
46.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
46.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
46.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
46.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
46.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
46.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
46.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
46.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
46.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
46.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
46.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
46.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
46.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
46.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
46.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
46.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
46.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
46.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
46.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
46.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
46.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
46.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
46.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
46.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
46.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
46.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
45.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
45.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
45.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
45.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
45.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
45.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
45.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
45.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
45.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
45.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
45.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
45.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
45.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
45.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
45.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
45.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
45.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
45.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
45.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
44.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
44.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
44.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
44.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
44.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
44.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
44.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
44.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
44.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
44.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
44.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
44.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
44.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
44.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
43.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
43.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
43.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
43.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
43.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
43.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
43.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
42.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
42.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
42.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
42.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
42.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
42.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
42.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
42.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
42.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
42.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
42.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
42.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
42.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
42.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
42.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
42.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
42.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
42.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
42.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
42.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
41.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
41.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
41.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
41.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
41.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
41.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
41.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
41.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
41.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
41.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
41.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
41.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
41.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
41.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
41.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
41.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
41.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
41.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
41.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
40.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
40.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
40.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
40.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
40.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
40.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
40.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
40.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
40.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
40.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
40.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
40.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
40.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
40.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
40.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
40.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
39.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
39.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
39.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
39.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
39.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
39.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
39.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
39.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
38.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
38.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
38.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
38.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
38.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
38.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
37.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
37.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
37.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
37.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
37.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
37.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
37.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
37.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
37.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
37.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
37.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
36.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
36.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
36.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
36.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
36.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
36.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
36.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
36.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
35.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
35.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
35.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
35.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
35.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
35.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
35.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
34.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
34.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
34.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
34.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
34.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
33.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
33.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
33.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
33.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
33.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
33.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
32.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
32.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
31.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
31.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
31.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
31.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
31.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
31.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
30.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
30.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
30.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
30.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
30.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
30.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
30.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
30.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
28.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
28.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
28.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
28.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
28.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
28.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
27.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
27.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
27.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
26.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
26.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
24.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
16.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SH3GL1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
46.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
80.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
77.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
71.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
69.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
67.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
66.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
65.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
64.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
64.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
63.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
63.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
61.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
60.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
59.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
59.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
58.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
58.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
57.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
56.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
56.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
55.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
55.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
54.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
54.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
54.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
54.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
53.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
53.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
53.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
52.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
51.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
50.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
49.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
48.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
48.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
48.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
48.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
48.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
47.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
47.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
47.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
47.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
47.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
46.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
46.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
46.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
46.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
45.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
45.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
45.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
44.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
43.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
43.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
43.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
43.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
41.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
39.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
39.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
39.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
37.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
37.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
36.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
36.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
36.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
36.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
36.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
35.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
34.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
34.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
33.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
33.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
33.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
32.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
31.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
31.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
30.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
30.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
28.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
28.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
28.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
28.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
27.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
27.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
26.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
26.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
26.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
26.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SH3GL1 is potential prognostic, high expression is favorable in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
46.6
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
86.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
77.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
77.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
75.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
72.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
71.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
71.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
69.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
68.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
68.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
67.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
66.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
66.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
66.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
66.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
65.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
65.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
62.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
61.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
61.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
60.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
60.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
59.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
59.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
58.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
57.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
57.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
57.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
57.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
57.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
57.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
57.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
56.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
56.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
56.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
56.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
55.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
55.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
55.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
55.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
55.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
54.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
54.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
54.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
53.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
53.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
53.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
53.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
53.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
53.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
53.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
53.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
53.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
53.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
52.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
52.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
52.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
52.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
52.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
51.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
51.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
51.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
51.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
50.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
50.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
50.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
50.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
50.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
50.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
50.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
50.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
49.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
49.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
49.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
49.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
49.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
49.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
48.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
48.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
48.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
48.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
48.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
48.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
48.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
48.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
47.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
47.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
47.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
47.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
47.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
46.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
46.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
46.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
46.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
46.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
46.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
46.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
46.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
45.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
45.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
45.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
45.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
45.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
45.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
44.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
44.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
44.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
44.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
44.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
43.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
43.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
43.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
43.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
43.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
43.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
43.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
43.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
42.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
42.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
42.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
42.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
42.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
42.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
41.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
41.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
41.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
41.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
41.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
41.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
41.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
41.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
41.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
41.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
41.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
41.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
41.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
40.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
40.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
40.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
40.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
40.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
40.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
40.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
40.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
39.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
39.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
39.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
39.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
39.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
39.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
39.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
38.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
38.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
38.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
38.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
38.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
38.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
38.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
37.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
37.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
37.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
37.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
37.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
37.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
37.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
37.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
37.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
36.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
36.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
36.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
36.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
36.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
35.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
35.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
35.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
35.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
35.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
35.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
35.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
35.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
35.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
34.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
34.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
33.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
33.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
33.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
33.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
33.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
32.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
31.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
31.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
31.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
31.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
30.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
30.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
28.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
25.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
24.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
